http://med-sci.cn/cgzcx/en/contents_list.asp?issue=202301 zh-cn An RSS feed for Chinese Journal of Magnetic Resonance Imaging http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.001 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.002 ^,s disease (PD) with depression and to investigate the associations of these alteration with depression.Materials and Methods: A total of 34 PD patients [19 Parkinson^,s disease without depression (PD-n) patients, 15 Parkinson^,s disease with depression (PD-d) patients] and 30 sex-age matched normal controls (NC) were enrolled from September 2021 to July 2022. The depressive symptom was defined according to the Hamilton Depression Rating Scale (HAMD). T1-weighted magnetization-prepared rapid acquisition gradient echo (T1 MPRAGE) and pseudo-continuous arterial spin labeling (pCASL) imaging were performed. SPM12 based on MATLAB were used for data processing to generate quantitative cerebral blood flow (CBF) values of each brain region. Independent samples t-test was used to compare regional CBF between PD group and NC group, PD-n group and PD-d group, controlled by false discovery rate correction. The associations between the HAMD score and CBF values of the brain were investigated using partial correlations.Results Compared with the NC group, cerebral blood flow of the right putamen, right hippocampus, right insula and the bilateral parietal lobe, occipital lobe, temporal lobe gray matter and white matter was significantly lower in the PD group (PPr=-0.370, P=0.034) and the right cingulate gyrus (r=-0.410, P=0.018) was negative correlated with the HAMD score.Conclusions: The arterial spin labeling MRI was used to observe the changes of cerebral perfusion in PD patients, and the hypoperfusion of PD patients in several brain regions may be one of the basic characteristics. Besides, there is a correlation between decreased cerebral perfusion of limbic system and PD with depression.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.003 ^,s disease (PD) patients and to explore frequency-specific FC patterns.Materials and Methods: Twenty-eight PD patients and 34 healthy controls (HCs) matched for gender, age, and education were enrolled. A total of 36 regions of interest (ROI) containing the bilateral cerebellum (Ⅳ-Ⅴ, Ⅵ, Ⅷ lobules), substantia nigra (SN), basal ganglia (BG) (caudate nucleus, putamen, pallidum), thalamus, and motor cortex (precentral and postcentral gyrus, paracentral lobule) were selected from atlases to form a PD-specific motor network, using FC in conventional band (0.01-0.1 Hz), slow-3 (0.073-0.198 Hz), slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz) as edges. After network-based statistical analysis, the frequency-specific FC change patterns were explored. Correlations between abnormal FC and clinical motor and cognitive scores were calculated using Spearman^,s partial correlation analysis.Results PD patients demonstrated extensive FC reduction at conventional band. In the threshold of Pedge=0.01 and Pcomponent=0.05, the component containing 22 ROIs and 29 edges were observed (P=0.017), where inter-network connections were dominated between thalamo-cerebello-BG circuits, as well as connections between SN-putamen and postcentral gyrus-cerebellum. Compared with typical band at the threshold of Pedge=0.05, slow-4 showed more thalamo-BG FC changes, while slow-5 specific FC was mainly the "cerebello-SN-BG-thalamo" related circuits. No statistically aberrant FC was detected in slow-3. The FC between thalamus-pallidum, also between inter-putamina, were negatively correlated with the Unified Parkinson^,s Disease Rating Scale Ⅲ (UPDRS-Ⅲ) (Pcorrected=0.04 and Pcorrected＜0.01).Conclusions: PD patients showed a complex and extensive FC impairment of the integrative motor network, with frequency-specific changes. Alterations in brain functional networks containing "cerebello-SN-BG-thalamo-motor cortical" circuits may be one of the neuropathological mechanisms of PD movement dysfunction. The striatum, thalamus and other subcortical regions may be served as potential biomarkers for disease diagnosis and monitoring.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.004 ^,s disease (AD), and normal elderly subjects by using structural MRI (sMRI), and to explore the correlations between the GMV, smell identification and cognitive behavioral tests, reveal the roles of olfactory brain regions in the trajectory of AD.Materials and Methods: sMRI was performed on 25 AD, 22 MCI, and 22 normal control (NC) subjects, along with the University of Pennsylvania Smell Identification Test (UPSIT), Mini-Mental State Examination (MMSE), Memory and Executive Screening (MES), Montreal Cognitive Assessment (MoCA), Activity of Daily Living (ADL) and Clinical Dementia Rating (CDR) scales. The differences and correlations of the GMV of the whole brain and olfactory cortex subregions, including primary olfactory cortex (POC), hippocampus, amygdala, insula and orbitofrontal cortex, UPSIT score, and cognitive behavioral tests score, were analyzed among the three groups.Results The UPSIT, MMSE, MoCA, CDR score, and the GMV of the whole brain, bilateral POC, and left hippocampus showed significant differences between the three groups (P＜0.05). For MES, ADL, the GMV of the right hippocampus, bilateral amygdala and insula, and right orbitofrontal cortex, there were significant differences between the AD and other groups (P＜0.05), but not between the MCI and controls (P＞0.05). Compared to the NC, the AD patients showed significant GMV reduction in the left orbitofrontal cortex (P＜0.05), but it was not found between the MCI and other groups (P＞0.05). The cognitive tests were significantly correlated with UPSIT score across all subjects (MMSE: r=0.55, P＜0.01; MoCA: r=0.43, P＜0.01; MES: r=0.48, P＜0.01; ADL: r=-0.33, P＜0.01; CDR: r=-0.49, P＜0.01). Significant correlations were observed between the GMV of the whole brain, bilateral POC, hippocampus, and amygdala, and cognitive and olfactory assessments (P＜0.05). The GMV of the bilateral insula and orbitofrontal cortex were significantly correlated with cognitive tests (P＜0.05), while significant correlations were not observed between the volumes and UPSIT score (P＞0.05). Conclusions: (1) The AD and MCI patients had heterogeneously distributed patterns of decreased GMV in olfactory cortex, and the AD patients showed more decrease than the MCI patients. And significant correlations were observed between UPSIT score, cognitive tests, and the GMV. (2) Bilateral POC and the left hippocampus may represent the key role of olfactory subregions in olfactory dysfunction in cognitive impairment due to AD, and are promising to predict MCI in the early stage.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.005 ^,s disease (PD) by resting-state functional magnetic resonance imaging (rs-fMRI) combined with low frequency fluctuation and functional connectivity (FC).Materials and Methods: 3.0 T blood oxygenation level dependent (BOLD) rs-fMRI and high-resolution 3D-T1WI scans were obtained from 36 PD patients (PD group) and 31 healthy controls (HC group) matched for age, gender, and education, and then performed image processing and obtained amplitude amplitude of low frequency fluctuation (ALFF), fractional ALFF (fALFF) and percent amplitude of fluctuation (PerAF) values, all Results were standardized to obtain mALFF, mfALFF, and mPerAF for statistical analysis and comparison. Seed-based FC was then performed between the differential ALFF, fALFF, and PerAF based brain regions and the rest of the voxels throughout the brain. The correlations between mALFF, mfALFF and mPerAF in abnormal brain region and the Unified Parkinson^,s Disease Rating Scale (UPDRS) score, the course of disease and Mini-Mental State Examination (MMSE) score in PD patients was analyzed. The images were analyzed and compared by different preprocessing methods to observe the stability of the Results .Results Compared with the HC group, the mALFF value of the left precuneus in PD patients was significantly decreased; the mfALFF values of the right medial superior frontal gyrus and left posterior cingulate gyrus were significantly decreased; the mPerAF value of the inferior frontal gyrus was significantly decreased (Alphasim adjusted PPr=-0.330, P=0.049), and the mfALFF values of the left posterior cingulate gyrus (r=-0.409, P=0.013) and right medial superior frontal gyrus (r=-0.352, P=0.035) were negatively correlated with the course of disease.Conclusions: The combined method of low-frequency fluctuation amplitude and FC of rs-fMRI can more comprehensively show the differential areas in the brain regions of PD patients, mainly stabilized in the default mode network regions and the prefrontal cortex.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.006 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.007 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.008 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.009 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.010 ^,s Hospital of Zhejiang University School of Medicine from 2020 to 2022, including 577 cases with viral encephalitis (VE) and 500 cases without VE. The Squeeze-and-Excitation Residual Networks (SE-ResNet) model in CNN was used to construct the MRI classification and early diagnosis model of children viral encephalitis, and was compared with Convolutional Block Attention Module Residual Networks (CBAM-ResNet), Mobile Networks (MobileNet), Residual Networks (ResNet), and Shuffle Networks (ShuffleNet) models.Results All models converged on the training set. The accuracy of SE-ResNet, CBAM-ResNet, MobileNet and ShuffleNet models all reached more than 90% after 100 rounds of training in the training set, while only CBAM-ResNet model and SE-ResNet model selected in this study also achieved more than 90% accuracy in the validation set. In the test set, CBAM-ResNet had the highest accuracy rate of 73.91%, ResNet had the highest recall rate of 75.45%, yet only SE-ResNet model used in this work had a high level in both accuracy and recall, and achieved the best F1 and area under the curve (AUC): the accuracy rate was 70.83%, the recall rate was 72.73%, the AUC was 0.77, and the F1 score was 0.7183.Conclusions: The Results in this work showed that it is feasible to realize the early diagnosis of viral encephalitis in children by using artificial intelligence technology combined with MR images, and provided theoretical and practical foundation for further achieving the early diagnosis and precise treatment of children viral encephalitis and improving the prognosis of children with encephalitis in a comprehensive way.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.011 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.012 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.013 ^,s Cancer Group (CCCG) ALL protocol (version: 2015). During the same period, 20 healthy control children were recruited. All subjects underwent 3-dimensional-T1-weighted MR brain images scan, and Chinese Wechsler Intelligence Scale for Children-4th Edition was used to evaluate their cognitive function.Results Compared with the control group, the gray matter volume of right orbital inferior frontal gyrus, right middle frontal gyrus, right superior frontal gyrus, left middle temporal gyrus, left postcentral gyrus, bilateral lingual gyrus and right hippocampal gyrus decreased in the ALL group (PP＞0.05).Conclusions: Childhood ALL patients after chemotherapy have multiple brain regions with reduced gray matter volume, but these changes lack association with patients^, cognitive function.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.014 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.015 ^,s funnel plots were performed to assess publication bias.Results Thirty-two studies met our criteria and were included. There were 3059 patients, including 1339 with MVI and 1720 without MVI. For the predictive performance of radiomics models, the pooled sensitivity, specificity, and area under the curve (AUC) values were 81% (95% CI: 78%-84%), 82% (95% CI: 79%-85%), and 0.89 (95% CI: 0.85-0.91), respectively.Conclusions: Radiomics models showed a promising prediction performance for predicting MVI in HCC. However, more high-quality studies are still needed for further feasibility validation and clinical translation.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.016 ^,s Hospital from June 2018 to July 2020 were retrospectively analyzed. A total of 162 patients were included and divided into two groups according to different contrast medium, including 81 patients who underwent domestic contrast enhancement and 81 patients who underwent originator contrast enhancement. The quality of MRI images in arterial phase, portal venous phase, equilibrium phase and hepatobiliary phase was assessed in both groups. The contrast enhancement index (CEI) was calculated by measuring the relative ratio of the unenhanced masked image (SIpre) to the relative ratio of the hepatobiliary specific phase after enhancement (SIpost), CEI=SIpost/SIpre. The clinical data of all patients were collated and analyzed for Child-Pugh classification of liver function, the difference in CEI between domestic contrast medium and original contrast medium was assessed and the correlation between CEI of the two contrasts medium and Child-Pugh classification of liver function was explored, respectively.Results There was no significant difference in MRI images quality assessment between the two contrasts medium, and the consistency between the two assessors was high. The mean CEI of domestic gadolinium-ethoxybenzyl-diethylenetriaminepentaacetic acid (Gd-EOB-DTPA) contrast medium in Child-Pugh classification A and B of liver function was 1.28-1.87 (1.40±0.14) and 1.00-1.28 (1.15±0.07), and there was a significant difference in the CEI between Child-Pugh A group and Child-Pugh B group (PPP＞0.05); with the decrease of liver function, the CEI of both groups decreased.Conclusions: Domestic Gd-EOB-DTPA contrast medium and foreign Gd-EOB-DTPA contrast medium showed high similarity in enhanced images of liver diseases, and there was no significant difference in diagnostic efficacy. The subjective item evaluation and quantitative parameter evaluation of Gd-EOB-DTPA contrast enhanced MRI images have good analysis Results , which can provide important clinical value for the evaluation of liver function in patients with chronic liver disease.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.017 ^,s Hospital from December 2016 to December 2021 were retrospectively included. Univariate and multivariate logistic regression were used to analyze the clinical data of the LVI positive group and the LVI negative group to determine the independent predictors of LVI. The full-layer region of interest (ROI) of tumor was manually delineated by ITK-SNAP software , and the open source software PyRadiomics was used to extract the radiomics features. Patients were divide into the training set (177 cases) and the test set (44 cases) according to the ratio of 8∶2 by SPSS random number table method, and the radiomics signature was constructed after feature dimension reduction. Four prediction models were constructed based on whether clinical predictors were included in the image omics model. The diagnostic efficacy of different prediction models was evaluated according to the area under curve (AUC) of receiver operating characteristic (ROC), sensitivity and specificity.Results Maximum tumor diameter was independent predictors of LVI in patients with rectal cancer (PCI: 0.769, 0.968) in the test set.Conclusions: The clinical-radiomics model constructed in this study has a high diagnostic efficiency, which can assist the clinical prediction of preoperative individualized LVI in rectal cancer patients without lymph node metastasis and improve the treatment plan.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.018 ^,s region of interest and extracted for imaging histological features, respectively. Dimension reduction and feature selection were performed using intra-class correlation coefficients (ICC), feature importance and minimal-redundancy-maximal-relevance (mRMR). The filtered features were used to establish radiomics models using generalized linear model (GLM), random forest (RF), support vector machine (SVM) and extreme gradient boosting (XGB) methods. The models were evaluated using the following metrics: area under the curve (AUC) of receiver operating characteristic (ROC), calibration curve, decision curve analysis and Delong test.Results Seventeen features were selected and models were constructed using GLM, XGB, SVM and RF. In the training set, the mean AUC were 0.714, 0.845, 0.768 and 0.858, respectively. In the testing set, the AUC were 0.796, 0.729, 0.755 and 0.765, respectively. Calibration curve and Delong test indicated no significant differences between the four models. Decision curve analysis showed that the four models had similar clinical applications.Conclusions: The MRI-based radiomics features allowed GLM, SVM, XGB and RF classifiers to be used as a promising tool for predicting bone metastases in PCa patients, providing potentially valid information for clinical management.]]> Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.019 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.020 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.021 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.022 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.023 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.024 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.028 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.029 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.030 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.031 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.032 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.033 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.034 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.035 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.036 Fri,20 Jan 2023 00:00:00 GMT http://med-sci.cn/cgzcx/en/en_articlexml.asp?doi=10.12015/issn.1674-8034.2023.01.037 Fri,20 Jan 2023 00:00:00 GMT